Nicolás Quesada
Affiliations: | Ecole Polytechnique de Montréal |
Area:
Quantum OpticsWebsite:
https://qpi.polymtl.caGoogle:
"Nicolás Quesada"Mean distance: 12.43 | S | N | B | C | P |
Parents
Sign in to add mentor| Daniel F. V. James | grad student | 2010-2015 | University of Toronto |
| John E. Sipe | grad student | 2010-2015 | University of Toronto |
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Publications
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| Madsen LS, Laudenbach F, Askarani MF, et al. (2022) Quantum computational advantage with a programmable photonic processor. Nature. 606: 75-81 |
| Deshpande A, Mehta A, Vincent T, et al. (2022) Quantum computational advantage via high-dimensional Gaussian boson sampling. Science Advances. 8: eabi7894 |
| Jahangiri S, Arrazola JM, Quesada N, et al. (2020) Quantum algorithm for simulating molecular vibrational excitations. Physical Chemistry Chemical Physics : Pccp. 22: 25528-25537 |
| Qi H, Brod DJ, Quesada N, et al. (2020) Regimes of Classical Simulability for Noisy Gaussian Boson Sampling. Physical Review Letters. 124: 100502 |
| Jahangiri S, Arrazola JM, Quesada N, et al. (2020) Point processes with Gaussian boson sampling. Physical Review. E. 101: 022134 |
| Quesada N, Arrazola JM. (2020) Exact simulation of Gaussian boson sampling in polynomial space and exponential time Arxiv: Quantum Physics. 2: 23005 |
| Banchi L, Quesada N, Arrazola JM. (2020) Training Gaussian boson sampling distributions Physical Review A. 102 |
| Bromley TR, Arrazola JM, Jahangiri S, et al. (2020) Applications of near-term photonic quantum computers: software and algorithms Arxiv: Quantum Physics. 5: 34010 |
| Gupt B, Arrazola JM, Quesada N, et al. (2020) Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer Quantum Information Processing. 19: 249 |
| Killoran N, Izaac J, Quesada N, et al. (2019) Strawberry Fields: A Software Platform for Photonic Quantum Computing Arxiv: Quantum Physics. 3: 129 |